for the second summer (Fig.1a; see Methods for the skill evaluation). The predictability of the Indo-WNP monsoon originates from a slowly evolving SST8but not necessarily through a direct influence from concurrent ENSO conditions. Indeed, the prediction skill of the NINO3.4 SST index for the ...
Plunging temperatures don't dampen spirits for some Winnipeggers braving the cold•Dec. 12, 2024, 7:34 AM ET (CBC) weather forecasting, the prediction of theweatherthrough application of the principles ofphysics, supplemented by a variety of statistical andempiricaltechniques. In addition to pred...
To address the current predicament of the AfroASMP seasonal prediction, this study provides an effective machine-learning model (Y-model). Y-model uses the monsoon related big climate data for searching the potential predictors, encompassing atmospheric internal factors and external forcings. Only the...
The current El Nino, ongoing since 2023, is expected to weaken and shift to neutral conditions by April-June 2024, according to NOAA’s Climate Prediction Centre. This change reduces the chances of major effects on the early Indian monsoon season. Above-Normal Temperatures Forecast: India ...
Therefore, this study is intended toward understanding the nature of monsoon and classification of methodologies implemented for its early prediction so far. Following an analysis of every model currently in use, it was discovered that deep learning models outperform all other models. However, as the...
Prediction of summer monsoon rainfall over India using the NCEP climate forecast system The performance of a dynamical seasonal forecast system is evaluated for the prediction of summer monsoon rainfall over the Indian region during June to Se... DR Pattanaik,A Kumar - 《Climate Dynamics》 被引量...
Despite an overall prediction of a wetter-than-average monsoon for India, the Northeast, particularly Meghalaya and surrounding areas, is expected to experience drier-than-normal conditions this year. ** For weather, science, space, and COVID-19 updates on the go, downloadThe Weather ...
The goal was to establish regression models with optimal fitting and prediction performance (Fig. S5). All models were developed using Python, and the parameter settings for each model are presented in Table S391. Combining the curve comparisons and statistical results of the evaluation metrics ...
Furthermore, the insights gained from this study may aid in improving the prediction of Arctic sea ice extent changes during the summer season. In the subsequent sections of this work, Section 2 provides an investigation of the relationship between the ISM and Arctic sea ice. Section 3 focuses...
Hot extremes are anticipated to be more frequent and more intense under climate change, making the Indo-Gangetic Plain of India, with a 400 million population, vulnerable to heat stress. Recent studies suggest that irrigation has significant cooling and